PyData Triangle May 2022 Meetup

PyData Triangle welcomes you to another exciting event.

This will be an online event. You must RSVP to this meetup event in order to see the Teams/Zoom URL. Revisit this page on the day of the meeting, as the URL might change.

Speakers:

• Anne Draelos
• David Fauth
• YOU: Lightning Talks (Sign-up for a 5 minute lightning talk slot at the meeting by posting in the chat. Or pre-sign-up by posting a comment into this announcement.)

Schedule:
6:00-6:15 announcements
6:15-7:00 Anne Draelos
7:00-8:15 David Fauth
8:15-8:30 Lightning talks

The PyData code of conduct ( http://pydata.org/code-of-conduct.html ) is enforced at this Meetup. Attendees violating these rules may be asked to leave the meetup at the sole discretion of the meetup organizer.

NOTE: This meeting will be recorded.

Please propose a presentation or speaker for a future PyData Triangle meetup. Contact any of the organizers, Yanlei Peng, Dhruv Sakalley, Gene Ferruzza, or Mark Hutchinson through meetup messages.

Follow us on twitter at: https://twitter.com/pydatatriangle

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Presenter: Anne Draelos

Title: Real-time modeling for adaptive neuroscience experiments

Presentation Overview:
New experimental tools allow us to collect increasingly large amounts of brain data in an attempt to relate these to human and animal behavior. To address this big data challenge we work on streaming computational methods to model brain activity in real time, during experiments while an animal is actively behaving. I will describe our Python software platform improv that flexibly manages complex dataflow pipelines for such real-time neuroscience experiments and can integrate with other commonly used codebases and languages such as Julia. I will also demonstrate our latest algorithms for building predictive models online and efficient optimization techniques using CuPy and JAX.

Bio:
Dr. Anne Draelos is a postdoc in the Pearson Lab at Duke University. Originally trained in computer science and physics, she now applies machine learning and statistical techniques to real-time analysis of neural and behavioral data. She is currently a Swartz Foundation Fellow for Theory in Neuroscience and received a 2021 Career Awards at the Scientific Interface from the Burroughs Wellcome Fund.

Presenter: David Fauth

Title: Introduction to Graph Databases for Data Analysts, Data Engineers, and Data Scientists

Presentation Overview:
There are three major types of databases: Relational (SQL), No SQL (document databases, such as MongoDB), and Graph (Nebula Graph, Neo4j). This presentation will include:

• Introduction to graphs for data analysts, data engineers, and data scientists.
• Introduction to Neo4j, the property graph database.
• How to identify a graph-y problem.
• Choosing a graph engine -- PyGraph vs Neo4j
• Designing your graph - best practices

Note: This is the first of several graph database presentations we have scheduled in 2022-2023.

Bio:
Dave Fauth has been with Neo4j as a sales engineer since 2014. In his role, Dave works with a wide variety of customers from startups to Fortune 50 companies educating them on the value of the graph. Graphs are being used to power transactional systems, deliver analytical insight and support data science / machine learning. Dave is based in Stafford, Virginia. He graduated from the US Merchant Marine Academy with a bachelors degree in Marine Transportation and Marine Engineering and received his MS in Information Systems from George Mason University.